Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Turkish Language TDB2101 Turkish Compulsory 4. Semester 4 + 0 4.0 4.0
Prerequisite Courses
Course Level Associate
Mode of delivery face to face
Course Coordinator
Instructor(s)
Goals The main aim of the course is to create automatic models to solve real-world problems after learning the theoretical background of basic AI Methods and Fuzzy Logic Theorem for different application areas.
Course Content Interprets the basic concepts and methods of Artificial Intelligence for different fields of study. Analyzes Fuzzy Logic theorem and its applications for different fields of study. - Applies Basic Artificial Intelligence Methods and Fuzzy Logic theorem for different fields of study in relevant projects.
Learning Outcomes
# Öğrenme Kazanımı
1 Interprets the basic concepts and methods of Artificial Intelligence for different fields of study. Analyzes Fuzzy Logic theorem and its applications for different fields of study. - Applies Basic Artificial Intelligence Methods and Fuzzy Logic theorem for different fields of study in relevant projects.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Definition and characteristics of language, assumptions about the emergence of languages
1. Week Introduction, Turing test, General History of Artificial Intelligence Other Activities
1. Week Definition and characteristics of language, assumptions about the emergence of languages
2. Week The impact of language on society, culture and nation; his interest in thoughts, feelings and communication
2. Week Information flow, Information Representation and Operation of information within the system Other Activities
2. Week The impact of language on society, culture and nation; his interest in thoughts, feelings and communication
3. Week Oral and Written Language, PhilologyGrammar-Lenguistik, factors determining the language of a language
3. Week Expert Systems Other Activities
3. Week Oral and Written Language, PhilologyGrammar-Lenguistik, factors determining the language of a language
4. Week Classification of world languages in terms of structure and origin, place and characteristics of ili Turkish Language n among world languages
4. Week Expert Systems and Applications for Different Application Areas-I Other Activities
4. Week Classification of world languages in terms of structure and origin, place and characteristics of ili Turkish Language n among world languages
5. Week Historical development of Turkish; Examination of Old Turkish (Köktürkçe-Uygurca)
5. Week Expert Systems and Applications for Different Application Areas-II
5. Week Historical development of Turkish; Examination of Old Turkish (Köktürkçe-Uygurca)
6. Week Historical development of Turkish; Examination of Middle Turkish (Karahanlıca-Harezmce-KipchakChagatay-Old Anatolian Turkish)
6. Week Hybrid Artificial Neural Networks and Expert Systems for Different Application Areas-I Other Activities
6. Week Historical development of Turkish; Examination of Middle Turkish (Karahanlıca-Harezmce-KipchakChagatay-Old Anatolian Turkish)
7. Week Historical development of Turkish; The new Turkish (Ottoman-Turkey TurkishChagatai) examination
7. Week Hybrid Artificial Neural Networks and Expert Systems for Different Application Areas-II Other Activities
7. Week Historical development of Turkish; The new Turkish (Ottoman-Turkey TurkishChagatai) examination
8. Week Midterm
8. Week Fuzzy Logic Theorem Other Activities
8. Week Midterm
9. Week The branches of the Turkish language used as the written language in today's world and their span, the main alphabets used by Turkish
9. Week Fuzzy Logic Theorem and Applications for Different Application Areas-I (ANFIS) Other Activities
9. Week The branches of the Turkish language used as the written language in today's world and their span, the main alphabets used by Turkish
10. Week Language simplification, simplification efforts after the Republic of Turkey Turkish, Turkish today's problems
10. Week Fuzzy Logic Theorem and Applications for Different Application Areas-II (ANFIS) Other Activities
10. Week Language simplification, simplification efforts after the Republic of Turkey Turkish, Turkish today's problems
11. Week Sound information, definition and nature of sound events, the main sound events seen in Turkish words: sound reproduction, sound drop, consonant softening, consonant hardening, famous shrinking, rinsing and so on.
11. Week Genetic Algorithms Other Activities
11. Week Sound information, definition and nature of sound events, the main sound events seen in Turkish words: sound reproduction, sound drop, consonant softening, consonant hardening, famous shrinking, rinsing and so on.
12. Week The main sound features in Turkish words and the main word production ways in Turkish.
12. Week Genetic Algorithms and Applications for Different Application Areas Other Activities
12. Week The main sound features in Turkish words and the main word production ways in Turkish.
13. Week The historical relation of Turkish with other languages, the channel of interlanguage exchange, the elements quoted by languages, quoted words and types
13. Week Project Presentations-I Other Activities
13. Week The historical relation of Turkish with other languages, the channel of interlanguage exchange, the elements quoted by languages, quoted words and types
14. Week Root varieties, additional varieties, words according to their structure (simple-derived-compound)
14. Week Project Presentations-II
14. Week Root varieties, additional varieties, words according to their structure (simple-derived-compound)
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
6 The student can present his/her thoughts effectively and express them clearly through written and oral communication at the level of knowledge and skills.
6 The student can present his/her thoughts effectively and express them clearly through written and oral communication at the level of knowledge and skills.
9 The student has social, scientific, cultural and ethical values ​​in the stages of collecting data related to his/her field, applying it and announcing the results.
9 The student has social, scientific, cultural and ethical values ​​in the stages of collecting data related to his/her field, applying it and announcing the results.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY6 5
PY9 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • YAZIM KILAVUZU; TDK Yayınları, Ankara, 2006.
  • TÜRKÇE SÖZLÜK; TDK Yayınları, Ankara, 2005.
  • AĞCA, Hüseyin: Türk Dili, Ankara, 2001, Gündüz Eğitim ve Yayıncılık, 270.
  • ERGİN, Muharrem: TÜRK DİL BİLGİSİ, Bayrak Yay., İstanbul, 1999
  • KORKMAZ, Zeynep, GÜLENSOY, Tuncer, ERCİLASUN, Ahmet B.; TÜRK DİLİ VE KOMPOZİSYON BİLGİLERİ, Yargı Yay., Ankara, 2001.
  • GÜLENSOY, Tuncer: TÜRKÇE EL KİTABI, Akçağ Yayınları, Ankara, 2005.
  • ussell, S. & Norvig, P. (1995). Artificial Intelligence A Modern Approach, Prentice-Hall, Inc.,
  • Timothy, J.R. (2010). Fuzzy Logic with Engineering Applications, Third Edition, John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8.
  • Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley.
  • YAZIM KILAVUZU; TDK Yayınları, Ankara, 2006.
  • TÜRKÇE SÖZLÜK; TDK Yayınları, Ankara, 2005.
  • AĞCA, Hüseyin: Türk Dili, Ankara, 2001, Gündüz Eğitim ve Yayıncılık, 270.
  • ERGİN, Muharrem: TÜRK DİL BİLGİSİ, Bayrak Yay., İstanbul, 1999
  • KORKMAZ, Zeynep, GÜLENSOY, Tuncer, ERCİLASUN, Ahmet B.; TÜRK DİLİ VE KOMPOZİSYON BİLGİLERİ, Yargı Yay., Ankara, 2001.
  • GÜLENSOY, Tuncer: TÜRKÇE EL KİTABI, Akçağ Yayınları, Ankara, 2005.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Preparation, After Class Study 14 1 14
Sınavlar
Midterm 1 15 1 15
Final 20 1 20
Total Workload 77
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0